@inproceedings{oai:kutarr.kochi-tech.ac.jp:00001207,
 author = {Ikezawa, Yuta and TAKAGI, Masataka},
 book = {Society for Social Management Systems Internet Journal},
 month = {May},
 note = {Recently, the surveillance of natural environment is important for the global climate change. And forest management is also important for preservation of natural environment. Generally, satellite is used for monitoring of natural environment. Therefore, the analysis of satellite data is important. The various reference datasets are needed for the accurate analysis of satel lite data. In this study, the reference datasets for satellite remote sensing will be prepared such as, GCP (ground control point) database for geometric correction, spectrum library of ground objects and field survey database for the validation. The GCP database is used for geometric correction using transformation model. The geometric transformation model requires accurate ground coordinates of the objects and the corresponded coordinate of the satellite imagery. That is called GCP. GCP should be well identified on satellite imagery. In this study, center of intersection of road, center of bridge and corner of dike are used as the GCP. Three dimensional coordinate of GCP was measured by the VRS-RTK observation of the GPS observation. Currently, over 500 GCP were measured and the results were opened to the public through web page. The geometric correction using GCP database obtained good accuracy with less than 0.5pixel. The analysis of satellite imagery is based on spectral reflection of the ground objects. Therefore, spectrum data is needed for the accurate analysis of satellite imagery. In this study, weekly measurements of spectral reflectance were carried out from 2010. In order to perform stable measurement, it should be measured in the darkroom. In this study, spectral radiometer which produced by OCEAN OPTICS USB4000 is used. Time series spectral library could be used to build classification algorithm. The field survey databases are established for validation of landcover classification. Currently, 12 mountains were surveyed and the results are opened to the public through web page. At observation point, the photographs of north, south, east and west and the zenith are taken. And the surrounding vegetation is identified visually and recorded the state of landcover. Prepared reference database can be used for any satellite image analysis. The reference dataset will grow up to make satisfy many researchers of satellite remote sensing.},
 publisher = {Society for Social Management Systems},
 title = {Preparation of reference dataset for satellite remote sensing},
 volume = {8},
 year = {2012}
}